Data Analyst
Role details
Job location
Tech stack
Job description
We're looking for a hands-on data pro who's far more than a number cruncher. This is an Operational All-Rounder role for someone with the analytical rigor of a Data Analyst and the drive to work at the sharp end of the business - supporting sales, enabling customers, and getting things live.
You'll sit at the crossroads of Operations, Sales Support, and Data. Beyond building reports, you'll be client-facing (supporting trials and onboarding), owning operational execution, and acting as the analytical engine behind our sales team.
What You'll Own:
Your role will be split roughly 50/50 between Sales & Marketing support and Operations & Data.
Data, Insights & Sales Enablement:
- Own the Data Function: Build sharp, decision-ready reports on business performance and customer activity.
- Power the Sales Team: Be the analytical engine behind sales - prepping data, cleaning lead lists, and turning prospect data into clear, actionable insights (no meeting ownership required).
- Commission & Billing Accuracy: Use transaction data to produce precise, reliable commission and billing reports.
- Smarter Processes: Automate manual reporting and clean messy data to make everything faster, cleaner, and more scalable.
Operations & Customer Success:
- Get Customers Live: Roll up your sleeves to onboard new customers and ensure everything is set up correctly from day one.
- Run Trials & Training: Lead product trials and client training, confidently guiding customers through their own data.
- Improve Customer Data: Identify and fix poor-quality data that's holding customers back.
- Spot Risk & Opportunity Early: Monitor usage data to identify thriving customers and those needing support, proactively flagging insights to account teams.
What You Bring:
This role demands serious technical horsepower. You must think in data logic, automation, and structure - not just reports.
Must-Have Technical Skills:
- Advanced Excel Power User. You go far beyond Index/Match and Pivot Tables. Macros/VBA are required.
- Data Cleaning & Structuring
What Makes You Stand Out:
- BI & Dashboards - Experience building dashboards in Tableau, Looker, or similar tools.
- Python for Data - Ability to analyse data using Python puts you firmly in top-tier territory.
The Right Profile:
- Mid-to-Senior Operator
- Client-Facing Confidence
- Execution-Driven
This is a rare opportunity to join a fast-growing, award-winning FinTech at a pivotal stage - post-MVP, scaling with enterprise clients, and building the foundations for global growth.
If you're execution-driven, technically sharp, confident with customers, and excited by a role that blends data, operations, and commercial impact, we'd love to hear from you.
Your next move could take you from Data Analyst to Head of Customer Success in a business that genuinely values trust, flexibility, and personal growth., Aside from a sensible fee model, custom technology and a direct unhindered path to candidates we don't sell candidates and we don't sell jobs: we facilitate relationships and champion the process of 'organic hiring' to help create stronger and longer-lasting engagements.
Requirements
Your Skills: Data Analyst. Python. SQL. An expert with Excel. Customer Service.
Benefits & conditions
Data Analyst Epsom, Surrey HQ Based 3 days / 2 days per week working from home £30,000 - £40,000 DOE Plus Benefits and potential progression to Head of Customer Success Full time, Permanent - Monday - Friday - 8:30am - 5:30pm
Awards: British Credit Awards 2025 Finalist for Innovation in Credit. Fintech Winners at the CICM British Credit Awards 2023, Credit & Collections FinTech Supplier Award 2023 Clients: Verizon, Informa plc, Zoopla, Rentokil, Haymarket, SSE, Zendesk, Johnson Controls, ADT and More… Culture: Informality and Flexibility, Work-Life Balance, Wellbeing, Personal Growth and Trust